Results 161 to 170 of about 150,984 (329)

Improved Systemic Immunochemotherapy Employing an Oxaliplatin‐TLR7/8 Agonist Prodrug Strategy

Advanced Science, EarlyView.
A platinum(IV) prodrug is developed to systemically deliver the TLR7/8 agonist gardiquimod. Tumor‐targeting is mediated by an albumin‐binding maleimide, which limits premature complex activation. Ox‐Gardi‐Mal accumulates specifically in the tumor, where it activates the immune system.
Michael Gutmann, Martijn Dijkstra, Philipp Salomon, Jamie Cowles, Anja Federa, Dina Baier, Carola Jaunecker, Iemima Semerean, Venla Karvonen, Christine Pirker, Maria Sibilia, Dietmar Herndler‐Brandstetter, Petra Heffeter, Bernhard K. Keppler, Christian R. Kowol, Walter Berger   +15 more
wiley   +1 more source

Integrating Atomistic Insights With Circuit Simulations via Transformer-Driven Symbolic Regression

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
This article introduces a framework that establishes a cohesive link between the first principles-based simulations and circuit-level analyses using a machine learning-based compact modeling platform.
Md Rahatul Islam Udoy, Jack Hutchins, Shamiul Alam, Catherine Schuman, Ahmedullah Aziz   +4 more
doaj   +1 more source

Mapping Genetic Regulation of Transcription to Identify Functional Variants and Genes Associated with Pancreatic Cancer Risk

Advanced Science, EarlyView.
Integration of a pancreatic eQTL map with a GWAS meta‐analysis identifies 82 putative functional variants and 15 genes. The association between rs11102484 and pancreatic cancer risk is observed in a total of 5699 cases and 8467 controls. The G allele of rs11102484 weakens ZNF263 binding and the silencer‐promoter interaction, thereby increasing ST7L ...
Xiaoyang Wang, Hui Geng, Zhengyan Yao, Yuan Jiang, Can Chen, Zequn Lu, Shuangshuang Tian, Ming Zhang, Ruiyan Liu, Chenxi Feng, Bin Li, Xiaoping Miao, Jianbo Tian, Shaokai Zhang, Ying Zhu   +14 more
wiley   +1 more source

Exploring Symbolic Regression and Genetic Algorithms for Astronomical Object Classification

The Open Journal of Astrophysics
This study explores the use of symbolic regression (SR) combined with genetic algorithms (GA) to classify astronomical objects. Using the SDSS17 dataset from Kaggle, which includes 100,000 observations of stars, galaxies, and quasars, we applied SR to 10%
Fabio Ricardo Llorella, José Antonio Cebrian   +1 more
doaj   +1 more source

Dimensionally Constrained Symbolic Regression

, 2011
We describe dimensionally constrained symbolic regression which has been developed for mass measurement in certain classes of events in high-energy physics (HEP). With symbolic regression, we can derive equations that are well known in HEP. However, in problems with large number of variables, we find that by constraining the terms allowed in the ...
openaire   +2 more sources

Organ‐Specific and Conserved Regulatory Logic Orchestrates Gene Expression in the Embryonic Mesothelium

Advanced Science, EarlyView.
Integrated multi‐omic profiling maps the gene‐regulatory landscape of the coelomic mesothelium across heart, lung, and pancreas. A cardiac‐restricted regulatory program is uncovered in which TBX20 activates heart mesothelial (epicardial) cis‐regulatory elements, while MAF emerges as a conserved regulator of mesothelial identity.
Quang Minh Dang, Nicola Smart, Andia Nicole Redpath, Joaquim Miguel Vieira   +3 more
wiley   +1 more source

Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression [PDF]

, 2022
Gabriel Kronberger
openalex   +1 more source

Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia

Advanced Science, EarlyView.
A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman, Lars Lau Raket, Michael Schöll, for the Alzheimer's Disease Neuroimaging Initiative†   +3 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Decomposable Neuro Symbolic Regression

Symbolic regression (SR) models complex systems by discovering mathematical expressions that capture underlying relationships in observed data. However, most SR methods prioritize minimizing prediction error over identifying the governing equations, often producing overly complex or inaccurate expressions.
Morales, Giorgio, Sheppard, John W.
openaire   +2 more sources